Data collection strategies for high quality multi-pass SAR CCD images

2014 ◽  
Author(s):  
Yuanyuan Wang ◽  
Yulin Huang ◽  
Yuebo Zha ◽  
Wei Pu ◽  
Jianyu Yang
Keyword(s):  
Data Collection ◽  
High Quality ◽  
Collection Strategies

New Opportunities for Charge Density Studies Using the FAST Area Detector

1993 ◽  
Vol 48 (1-2) ◽  
pp. 63-67
Author(s):  
Christian W. Lehmann ◽  
Alexander Karaulov ◽  
Michael B. Hursthouse
Keyword(s):  
Data Collection ◽  
Oxalic Acid ◽  
Charge Density ◽  
Diffraction Data ◽  
High Quality ◽  
Complex Molecules ◽  
Oxalic Acid Dihydrate ◽  
Area Detector ◽  
Unit Cell Size ◽  
Collection Strategies

Abstract The requirements for charge density studies of more complex molecules have been realized by use of the FAST area-detector diffractometer in conjunction with a rotating-anode generator, which allows to collect large quantities of diffraction data within less than two days, independent of unit cell size. Oxalic acid dihydrate has been chosen for test experiments. Data collection strategies are described and preliminary results are presented. These show that data of sufficiently high quality for charge density studies can be collected.

Collecting High-Quality Data

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Social Desirability ◽  
Measurement Errors ◽  
Monitoring And Evaluation ◽  
Quality Data ◽  
Social Desirability Bias ◽  
High Quality ◽  
High Quality Data ◽  
Evaluation Systems ◽  
Demand Effect

Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

The Establishment of a Dominant Interpretive Framework in Language Intervention

1997 ◽  
Vol 28 (3) ◽  
pp. 288-296 ◽  
Author(s):  
Jack S. Damico ◽  
Sandra K. Damico
Keyword(s):  
School Culture ◽  
Data Collection ◽  
Language Intervention ◽  
Speech Language Pathologists ◽  
Therapeutic Discourse ◽  
Therapeutic Encounter ◽  
Collection Strategies ◽  
Patterns Of Interaction ◽  
Interpretive Framework ◽  
The Way

One aspect of therapeutic discourse that has not been fully investigated in language intervention is the way that interactional dominance is established and maintained within the therapeutic encounter. Using various data collection strategies, therapeutic discourse from 10 language intervention sessions was collected and analyzed. By employing an analytic device known as the "dominant interpretive framework," the interactional styles and strategies of two speech-language pathologists were investigated. Data revealed several systematic patterns of interaction that constrained the ranges of interaction between the clinician and the client. Several implications regarding client empowerment, mediation, and assimilation into the school culture are discussed.

Promoting community engagement in a pre-registration nursing programme: a qualitative study of student experiences

2021 ◽  
Vol 30 (20) ◽  
pp. 1190-1197
Author(s):  
Pam Hodge ◽  
Nora Cooper ◽  
Brian P Richardson
Keyword(s):  
Data Collection ◽  
Community Engagement ◽  
Qualitative Data ◽  
Learning Experience ◽  
Student Nurses ◽  
Risk Assessments ◽  
Student Experiences ◽  
Cross Sectional ◽  
Health And Wellbeing ◽  
Collection Strategies

Aims: To offer child health student nurses a broader learning experience in practice with an autonomous choice of a volunteer placement area. To reflect the changing nature of health care and the move of care closer to home in the placement experience. To evaluate participants' experiences. Design: This study used descriptive and interpretative methods of qualitative data collection. This successive cross-sectional data collection ran from 2017 to 2020. All data were thematically analysed using Braun and Clarke's model. Methods: Data collection strategies included two focus groups (n=14) and written reflections (n=19). Results: Students identified their increased confidence, development as a professional, wider learning and community engagement. They also appreciated the relief from formal assessment of practice and the chance to focus on the experience. Conclusion: Students positively evaluated this experience, reporting a wider understanding of health and wellbeing in the community. Consideration needs to be given to risk assessments in the areas students undertake the placements and the embedding of the experience into the overall curriculum.

scholarly journals Integrated Pathology Informatics Enables High-Quality Personalized and Precision Medicine: Digital Pathology and Beyond

2017 ◽  
Vol 142 (3) ◽  
pp. 369-382 ◽  
Author(s):  
Zoya Volynskaya ◽  
Hung Chow ◽  
Andrew Evans ◽  
Alan Wolff ◽  
Cecilia Lagmay-Traya; ◽  
...  
Keyword(s):  
Data Collection ◽  
Precision Medicine ◽  
Critical Role ◽  
Digital Pathology ◽  
Geographic Area ◽  
Whole Slide Imaging ◽  
High Quality ◽  
Pathology Informatics ◽  
Prognosis And Prediction ◽  
The Right

Context.— The critical role of pathology in diagnosis, prognosis, and prediction demands high-quality subspecialty diagnostics that integrates information from multiple laboratories. Objective.— To identify key requirements and to establish a systematic approach to providing high-quality pathology in a health care system that is responsible for services across a large geographic area. Design.— This report focuses on the development of a multisite pathology informatics platform to support high-quality surgical pathology and hematopathology using a sophisticated laboratory information system and whole slide imaging for histology and immunohistochemistry, integrated with ancillary tools, including electron microscopy, flow cytometry, cytogenetics, and molecular diagnostics. Results.— These tools enable patients in numerous geographic locations access to a model of subspecialty pathology that allows reporting of every specimen by the right pathologist at the right time. The use of whole slide imaging for multidisciplinary case conferences enables better communication among members of patient care teams. The system encourages data collection using a discrete data synoptic reporting module, has implemented documentation of quality assurance activities, and allows workload measurement, providing examples of additional benefits that can be gained by this electronic approach to pathology. Conclusion.— This approach builds the foundation for accurate big data collection and high-quality personalized and precision medicine.

Success and failure: a case study of two rural telemedicine projects

2003 ◽  
Vol 9 (3) ◽  
pp. 125-129 ◽  
Author(s):  
Pamela Whitten ◽  
Inez Adams
Keyword(s):  
Data Collection ◽  
Organizational Structure ◽  
Health Organizations ◽  
Telemedicine Application ◽  
Clinical Utilization ◽  
Steady Growth ◽  
Multiple Data ◽  
One Year ◽  
Collection Strategies

We studied two rural telemedicine projects in the state of Michigan: one that enjoyed success and steady growth in activity, and one that experienced frustration and a lack of clinical utilization. Multiple data collection strategies were employed during study periods, which lasted approximately one year. Both projects enjoyed a grassroots approach and had dedicated project coordinators. However, the more successful project benefited from resources and expertise not available to the less successful project. In addition, the more successful project possessed a more formalized organizational structure for the telemedicine application. A comparison of the two projects leads to a simple conclusion. Telemedicine programmes are positioned within larger health organizations and do not operate in a vacuum. It is crucial that the organization in which it is intended to launch telemedicine is examined carefully first. Each organization operates within a larger environment, which is often constrained by fiscal, geographical and personnel factors. All these will affect the introduction of telemedicine.

ADaCS: A Tool for Analysing Data Collection Strategies

2017 ◽  
pp. 230-245
Author(s):  
John C. Mace ◽  
Nipun Thekkummal ◽  
Charles Morisset ◽  
Aad Van Moorsel
Keyword(s):  
Data Collection ◽  
Collection Strategies

Information content of data with respect to models

1983 ◽  
Vol 245 (5) ◽  
pp. R620-R623
Author(s):  
M. Berman ◽  
P. Van Eerdewegh
Keyword(s):  
Experimental Data ◽  
Data Collection ◽  
Information Content ◽  
Mathematical Framework ◽  
Statistical Measures ◽  
Parameter Values ◽  
Collection Strategies

A measure is proposed for the information content of data with respect to models. A model, defined by a set of parameter values in a mathematical framework, is considered a point in a hyperspace. The proposed measure expresses the information content of experimental data as the contribution they make, in units of information bits, in defining a model to within a desired region of the hyperspace. This measure is then normalized to conventional statistical measures of uncertainty. It is shown how the measure can be used to estimate the information of newly planned experiments and help in decisions on data collection strategies.

scholarly journals Collecting quantitative experimental data from a non-WEIRD population: challenges and practical recommendations from a field experiment in rural Sierra Leone

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Hanna Luetke Lanfer ◽  
Doreen Reifegerste ◽  
Sorie Ibrahim Kargbo
Keyword(s):  
Data Collection ◽  
Field Experiment ◽  
Sierra Leone ◽  
Ethical Dilemmas ◽  
Research Process ◽  
Health Programs ◽  
Considerable Time ◽  
Collection Strategies ◽  
Practical Recommendations ◽  
Extensive Pilot

Abstract Objective Standardized pretest–posttest experimental designs with quantitative surveys are frequently applied to evaluate the effectiveness of health programs. However, this method is strongly informed by research on samples from Western, Educated, Industralized, Rich, and Democratic (WEIRD) societies and may not produce meaningful results in a distinct cultural, educational and socioeconomic context. Results This paper reports several methodological challenges encountered along the research process of collecting quantitative survey data (i.e., during recruitment, obtaining informed consent, matching pretest–posttest data and data collection) for a mixed-methods field experiment on domestic handwashing in Sierra Leone. Ethical dilemmas of certain research practices are pointed out and potential solutions or alternatives are recommended for each challenge. Analysis of these challenges highlights the importance of reflecting on the aptness of research methodologies for non-WEIRD samples. While this is not to say that quantitative surveys are not suitable in a non-WEIRD context, their employment require considerable time for extensive pilot testing, involving local interviewers and participants in designing research projects and the modification of data collection strategies.

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